en.Wedoany.com Reported - Rescale has announced the launch of Agentic Digital Engineering, marking a significant advancement in AI physics and computational economics on its platform. The platform provides a more complete AI-first product development environment for engineering and R&D organizations in aerospace, automotive, energy, life sciences, defense, semiconductors, and manufacturing.

Engineering organizations face pressure to accelerate time-to-market, yet many R&D teams still use siloed simulation, data, and AI tools. This release from Rescale directly addresses that challenge by integrating these capabilities into a unified platform built for the AI-first engineering transformation.

The Agentic Digital Engineering capability introduces simulation-native AI agents that automate critical workflows in product development, such as input validation, troubleshooting, report generation, and hardware selection. Engineers can deploy pre-built agents through an agent library, agent deployment framework, and workflow builder while maintaining human-in-the-loop control. Organizations that have deployed this capability report significantly fewer simulation errors, eliminated computational waste, and reduced the time engineers spend on manual setup and troubleshooting during the product development cycle.

Building on earlier achievements in AI simulation, Rescale has expanded its AI Physics operating system into a complete end-to-end environment that transforms simulation data into production-ready surrogate models. The platform now offers a unified path from data structuring to model training, validation, and deployment. By supplementing traditional solvers with near-real-time AI predictions trained on customers' own simulation data, engineering teams can explore exponentially larger design spaces, evaluating thousands of potential iterations instead of being limited to dozens of manual studies.

Surrogate models can also be deployed directly into third-party design tools, bringing AI-accelerated predictions into the environments engineers already use, including manufacturing scenarios. Organizations using these enhanced capabilities have achieved 1,000x faster simulation speeds and a 90% reduction in full-stack simulation costs, compressing studies that previously took months into just days.

The new Computational Economics capability provides engineering and IT leaders with granular control to balance speed, throughput, and cost. Curated, price-performance-optimized hardware configurations paired with policy controls can reduce compute spending and improve simulation utilization across teams, eliminating the time spent on manual hardware benchmarking.

Daikin Industries, one of the world's largest and most innovative HVAC and industrial manufacturers, is building an AI-first R&D ecosystem on the Rescale platform. After deploying Rescale for cloud CAE and data intelligence across R&D sites, Daikin has significantly reduced manual simulation data management and is now moving toward broader Agentic Digital Engineering capabilities across its global R&D organization.

Rescale's latest platform expansion is now available.

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